Summary
Victor Giannakouris is a Ph.D. candidate and graduate research assistant at Cornell University who builds systems at the intersection of data management and generative AI, with work spanning dynamic table generation (SwellDB), learned tuning (λ-Tune), and LLM-assisted query performance debugging (DBG-PT). With 11 years of industry and research experience, he has shipped database internals and large-scale analytics features at TileDB and contributed research internships at Microsoft and IBM. His background blends production engineering—from big-data APM and web crawlers to Spark SQL optimization—with academic rigor, achieving order-of-magnitude speedups in heterogeneous query execution. Based in Ithaca, he combines systems-level implementation skills with research that probes how LLMs can be integrated into database engines, making him adept at translating cutting-edge ideas into practical infrastructure.
11 years of coding experience
7 years of employment as a software developer
Master of Science - MS, Computing Systems - Software and Hardware, Master of Science - MS, Computing Systems - Software and Hardware at National & Kapodistrian University of Athens
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Cornell University
Bachelor of Science - BS, Informatics, Bachelor of Science - BS, Informatics at Ionian University
High School Diploma, High School Diploma at Amarynthos High School
English, Greek